The abstract is read at the publisher; the summary is JClub's.
SpOTr integrates single-cell and spatial transcriptomics in tumors by using Fused Gromov-Wasserstein optimal transport, recovering clone spatial locations better than tree-agnostic methods.
- Why it matters: Spatially resolved transcriptomics often measures cell groups in spots, while dissociated single-cell data lack tissue positions, making cancer clone resolution difficult.
- What they did: SpOTr couples spot deconvolution with Fused Gromov-Wasserstein optimal transport, drawing cells to nearby spots when they are close on the evolutionary tree, and evaluates it in simulations and real spatial lineage tracing.
- The result: In simulations and spatial lineage tracing, SpOTr recovers clone locations better than methods that ignore the tree, and in a human colorectal liver metastasis it maps copy number clones from dissociated cells to spatial spots.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.